Please use this identifier to cite or link to this item: https://doi.org/10.1016/0377-0427(95)00241-3
Title: A sinusoidal polynomial spline and its Bezier blended interpolant
Authors: Loe, K.F. 
Keywords: Bezier curve
Interpolant
Sinusoidal spline
Tension
Tensor surface
Issue Date: 27-Jul-1996
Citation: Loe, K.F. (1996-07-27). A sinusoidal polynomial spline and its Bezier blended interpolant. Journal of Computational and Applied Mathematics 71 (2) : 383-393. ScholarBank@NUS Repository. https://doi.org/10.1016/0377-0427(95)00241-3
Abstract: Functional polynomials composed of sinusoidal functions are introduced as basis functions to construct an interpolatory spline. An interpolant constructed in this way does not require solving a system of linear equations as many approaches do. However there are vanishing tangent vectors at the interpolating points. By blending with a Bezier curve using the data points as the control points, the blended curve is a proper smooth interpolant. The blending factor has the effect similar to the "tension" control of tension splines. Piecewise interpolants can be constructed in an analogous way as a connection of Bezier curve segments to achieve C1 continuity at the connecting points. Smooth interpolating surface patches can also be defined by blending sinusoidal polynomial tensor surfaces and Bezier tensor surfaces. The interpolant can very efficiently be evaluated by tabulating the sinusoidal function.
Source Title: Journal of Computational and Applied Mathematics
URI: http://scholarbank.nus.edu.sg/handle/10635/99166
ISSN: 03770427
DOI: 10.1016/0377-0427(95)00241-3
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